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Official Launch of Centre of AI in Medicine
Date: 30 September, Monday, 2024
Venue: Experimental Medicine Building
Time: 2pm – 5pm
We are thrilled to announce the official launch of the Centre of AI in Medicine in Nanyang Technological University. We would like to invite you to the launch ceremony on 30 September 2024, 2pm to share our excitement. The event will see the formal
establishment and recognition of the collaboration between NTU and our academic and industry partners and also feature a symposium lined with talks from our partners as well as a panel discussion by thought leaders in AI governance in Singapore.
Programme Flow:
1.30pm | Registration starts |
2.00pm | Welcome Remarks byMr Lim Chuan PohChairman, Governing Board of Lee Kong Chian School of MedicineOpening Address ByMr Tan Kiat HowSenior Minister of State, Ministry of Digital Development and Information & Ministry of National DevelopmentAddress ByProfessor Ernst KuipersVice President (Research), Nanyang Technological UniversityAddress ByProfessor Benjamin SeetGroup Chairman Medical Board (Research) And Co-Chair, Academic Partnership Office, National Healthcare Group |
2.15pm | Launch CeremonyMOU/MOA Signing Ceremony:NHG X NTUNHG X Olympus X NTUYale X NTU |
2.35pm | C-AIM SymposiumMachine Learning Algorithms for Clinical Decision SupportBy Professor Loren LaineProfessor of Medicine, Chief, Section of Digestive Diseases, Yale School of MedicineMedicine: An Exercise of Our ImaginationBy Dr Junaid BajwaSenior Partner, Head of UK, Science Partner, Pioneering Intelligence, Flagship Pioneering |
3.15pm | Panel Discussion: How can Academia Contribute to the Acceleration of AI TranslationModerator: A/Professor Tan Cher Heng,Chief Medical Scientist, C-AIM |
4.00pm | Tea-break / Poster Sharing |
5.00pm | End of programme |
The day ends with an invitation-only dinner at Nanyang Lake Pavilion.
Additional Information
Machine Learning Algorithms for Clinical Decision SupportProfessor Loren Laine Chief, Section of Digestive Diseases, Internal Medicine, Yale University
The talk covers the background on GI bleeding and use of clinical decision support tools. It will touch on the development of ML models that improve on prior clinical risk stratification instruments; that use data from electronic health records that can provide excellent decision support within a few hours of a patient presenting to the emergency department.
Prof Laine also plans to share some insights into initial work in their simulation center assessing acceptance of decision support tools that are provided to the clinicians during simulation of clinical situations.
Medicine: An Exercise of Our ImaginationDr Junaid Bajwa Senior Partner, Head of UK, and Science PartnerPioneering Intelligence, Flagship Pioneering
Health systems face many challenges today, and technology innovators can play a critical role in helping those health systems solve them. This session will provide an overview of some of the current challenges health systems face and how transformative technology can help address them. Within this context, we will also explore how the practice of medicine will be radically reimagined with trusted, reliable, human-centred AI.
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How can Academia contribute to the acceleration of AI translation?moderated byA/Professor Tan Cher Heng Chief Medical Scientist, C-AIMPanellists:A/Professor Eric Wong Group Chief Digital Health Officer, National Healthcare GroupDr Andrew Makmur Group Chief Technology Officer, National University Health SystemDr Iris Tan Siu Kwan Assistant Director of the Artificial Intelligence Office, SingHealthMr Glenn Neo Chief Information Officer, Woodlands HealthProfessor Joseph Sung
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Director, Centre of AI in medicineProjects | Presenters |
| Anatomy of PRIME-CXR: Novel Clinical Deployment of Imaging AI in Primary Care | Dr. Alvin Soon |
| Personalized Brain-Computer Interface-based Intervention for Anxiety Regulation in Young Adults | Ding Yi |
| Simulation Study on Artificial Intelligent Clinical Decision Support System for Acute Gastrointestinal Bleeding | Shelly Malik |
| Senior Endoscopists Are More Likely To Trust And Accept AI-Assisted Colonoscopy For Detection And Treatment Of Polyps Compared To Junior Endoscopists | Chia Yao An Kendrick |
| Predicting cancer-risk in diabetic patients using a longitudinal machine learning approach | Mohammad Neamul Kabir |
| Optimizing Proteomics Data Differential Expression Analysis via High-Performing Rules and Ensemble Inference | Peng Hui |
| Application of data-centric approach in virtual screening | Chong Kim San Allen/ Phua Ser Xian |
| Integrating Multimodal AI for Predicting Adverse Outcomes and Guiding Treatment in UGIB Patients Post-Endoscopy | Song Shangzheng |
| Using Machine Learning to Optimize Antiplatelet and Anticoagulant Therapy Management in Gastrointestinal Bleeding Patients | Liu Yihang |
| Maximising the predictive power of Alzheimer’s Disease consortium blood transcriptomics data | Eric Lim Jit Kai |
| Utilising contextual information to enhance digital phenotyping for mental health monitoring | Jordon Kho Jun Yang |
| "It's also a double edged sword" A Qualitative Study on the Perspectives of Patients Towards AI in Healthcare | Kalya Marisa Kee Lin |
| Developers’ Perspectives into Regulatory Frameworks in Medical AI Development | Cameron Mavericks Choo |
| ETSCL: An Evidence Theory-Based Supervised Contrastive Learning Framework for Multi-modal Glaucoma Grading | Zhang Bo |
| Development of a Radiomics-based Model for Differentiating Parotid Neoplasms | Dr Goh Shu Wen |
| Towards Explainable Uncertainty Estimation with XAI-Informed Reconstruction Errors | Jaime Duell |
| Clinical Guideline Generation Using Explainable Artificial Intelligence (XAI) | Charlene Chia |
| Enhancing Medical Education: Integrating Quantitative and Qualitative Feedback Analysis Using Multi-agent LLMs | Cai Chang |
| An Uncertainty Estimation Model for Health Signal Prediction | Wang Li Rong |
| Uncertainty Estimation with Medical Imaging | Xu Xinran |
| A Deep Learning Approach to Nanomedicine Design | Alvin Chan |
| Advancing AMR Detection Using AI-powered Contact Tracing and Genomic Analysis | Sankeerthana |
| VP Shunt Entry Area Recommender Plus (VPSEAR+) | Kritsanavis Chongsrid |